Commit Graph

86 Commits

Author SHA1 Message Date
Nicolas Patry
befe60b566 Fixing malformed rust tokenizers (#2134)
* Fixing malformed rust tokenizers

* Fix for deepseek too.
2024-09-24 03:57:07 +00:00
Daniël de Kok
d731866245 Idefics2: sync added image tokens with transformers (#2080)
Before this change, the number of reserved image tokens was not the
same as the number of images. Fixes #2029.

While at it, also remove all the image token handling duplication
in `prepare_input`.
2024-09-24 03:56:28 +00:00
Nicolas Patry
7045598b20 Fixing prom leak by upgrading. (#2129) 2024-09-24 03:55:38 +00:00
drbh
d0a1d50fd3 PR #2049 CI run (#2054)
* Use minijinja's pycompat mode for python methods

* fix: cargo fmt lint for pre commit

---------

Co-authored-by: Armin Ronacher <armin.ronacher@active-4.com>
2024-09-24 03:42:29 +00:00
Nicolas Patry
cbd5d67101 Upgrade to Axum 0.7 and Hyper 1.0 (Breaking change: disabled ngrok tunneling). (#1959)
- Axum upgraded to hyper 1.0 and most of the ecosystem switched so it's
our time now
- [ngrok-rust](https://github.com/ngrok/ngrok-rust/pull/137/files)
hasn't yet, and hasn't for several months now, so let's disabled the
feature for the time being.

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2024-09-24 03:16:16 +00:00
Nicolas Patry
179336888e Modifing the version number. 2024-07-17 05:36:58 +00:00
Nicolas Patry
263732ef7a Upgrading to rust 1.78. (#1851)
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2024-07-17 05:36:58 +00:00
Nicolas Patry
6a164ce270 Updating Phi3 (long context). (#1849)
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2024-07-17 05:36:58 +00:00
Karol Damaszke
7c475b6226
Update to SynapseAI 1.16.0 (#167)
Co-authored-by: Alexey Fadeev <alexey.fadeev@intel.com>
2024-07-03 11:08:56 +02:00
OlivierDehaene
a7c744664c v2.0.1 2024-06-03 15:39:47 +03:00
Nicolas Patry
11c16aa64c Upgrading all versions. (#1759) 2024-06-03 15:39:47 +03:00
OlivierDehaene
c6a31b9e2b v2.0.0 (#1736) 2024-04-26 07:42:52 +00:00
Nicolas Patry
661081d2d2 Improve the defaults for the launcher (#1727)
- Renamed `max_input_length` into `max_input_tokens` for consistency
(backward compatible change, will yell if both are set.)
- Will now use the config for `max_input_tokens` `max_total_token` and
`max_batch_total_tokens`.
- Capping the values to 16k in order to save VRAM on behalf of users
(overriddable by simply setting the values).

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2024-04-26 07:22:04 +00:00
Nicolas Patry
c4ee0a653d Revert "Easier defaults for models stemmed from configs."
This reverts commit b83aab9bb3.
2024-04-25 17:56:05 +03:00
Nicolas Patry
e428c7c246 Easier defaults for models stemmed from configs. 2024-04-25 17:53:58 +03:00
Nicolas Patry
2b2f4dee94 Adding Llava-Next (Llava 1.6) with full support. (#1709)
- Changed all models to extract `embed_tokens` in order to enable llava
to separately call the embeddings and the core model layers.
- Added VlmCausalLM to inherit from FlashMistral in order to be
maximally supported. The only added logics sits on top and parses images
into pixel values, preallocates input_ids space for the image
embeddings, and passes them for the model.
- Added Clip for the vision tower.
- Didn't add flash for the vision tower since there's no padding anyway.
- Added heuristic (potentially incomplete) to calculate number of
features *before* calculating the clip patches (allows for easier logic
reuse of the LLM under the hood).

Still needs to be done:

- [x] Implement the image parsing in the controller side, to avoid
downloading n times per TP shard and also refusing requests too large
early and avoid issues where the truncation actually truncates the
image.
- [ ] Make sure it works with quantization properly.
- [x] Make sure it works with TP>1

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2024-04-25 14:30:55 +00:00
OlivierDehaene
0bf856dc60 v1.4.5 (#1686) 2024-04-25 14:08:27 +03:00
OlivierDehaene
6ac93d8f28 v1.4.4 (#1668) 2024-04-25 12:40:30 +03:00
Nicolas Patry
ecdacbb73c Inline images for multimodal models. (#1666) 2024-04-25 12:35:51 +03:00
drbh
08525d9459 feat: bump minijina and add test for core templates (#1626)
This PR bumps `minijinja` and adds tests for all core models as
identified by @xenova 🙏

Inspiration:
https://github.com/huggingface/huggingface.js/blob/main/packages/jinja/test/e2e.test.js

TODO:
- [X] add new test to iterate over known templates
- [X] add default templates
- [x] add custom templates
2024-04-25 12:32:23 +03:00
OlivierDehaene
e9b200369c v1.4.3 (#1609) 2024-04-25 09:25:54 +03:00
OlivierDehaene
e7183c2c03 v1.4.2 (#1585) 2024-04-24 18:10:10 +03:00
OlivierDehaene
3c6e6d8c3f fix(router): fix openapi and add jsonschema validation (#1578) 2024-04-24 18:07:44 +03:00
OlivierDehaene
2ac1b55c95 v1.4.1 (#1568) 2024-04-24 15:42:59 +03:00
OlivierDehaene
f1d8da3ba6 feat(server): add frequency penalty (#1541) 2024-04-24 08:43:50 +00:00
OlivierDehaene
efd4b97d15 v1.4.0 (#1494) 2024-04-22 15:47:42 +03:00
drbh
76b226b00c feat: supports openai chat completions API (#1427)
This PR adds support to make TGI a drop in replacement for OpenAI
clients by exposing the same HTTP interface.

Notes
- TGI inits a single model at startup so the `model` field is unused in
HTTP requests.
- `max_tokens` and `stream` should work as expected but other params may
be (unimplemented or not supported)

General approach
- fetch the `tokenizer_config` at startup from the hub
- pass `tokenizer_config` into `Infer` so we have it at request time
- use the `chat_template` on the config to format chat request
- parse jinja template and render chat string
- pass inputs into existing generate function
- wrap generation output in expected structure before returning

```bash
curl localhost:3000/v1/chat/completions \
    -X POST \
    -d '{
  "model": "tgi",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "What is deep learning?"
    }
  ],
  "stream": true,
  "max_tokens": 20
}' \
    -H 'Content-Type: application/json'
```

It is also possible to use the `openai` python library and change the
base url

```python
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3000/v1",
    api_key="not needed for a local LLM"
)

chat_completion = client.chat.completions.create(
    model="tgi",
    messages=[
        {"role": "system", "content": "You are a helpful assistant." },
        {"role": "user", "content": "What is deep learning?"}
    ],
    stream=True
)

for message in chat_completion:
    print(message)

```

```python
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3000/v1",
    api_key="not needed for a local LLM"
)

chat_completion = client.chat.completions.create(
    model="tgi",
    messages=[
        {"role": "system", "content": "You are a helpful assistant." },
        {"role": "user", "content": "What is deep learning?"}
    ],
    stream=False
)

print(chat_completion)
```

```bash
cd text-generation-inference/server
MASTER_ADDR=127.0.0.1 MASTER_PORT=5555 text-generation-server serve --trust-remote-code gpt2
```

***note many of the existing `chat_templates` use non standard `jinja`
(ie. adding a `raise` to the template) which will throw an error when
parsing; hence using `upstage/SOLAR-10.7B-Instruct-v1.0` since it has a
valid template
```bash
cd text-generation-inference/router
cargo run -- --tokenizer-name upstage/SOLAR-10.7B-Instruct-v1.0
```

trigger
```bash
curl localhost:3000/v1/chat/completions \
    -X POST \
    -d '{ "model": "gpt-3.5-turbo", "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "What is the IP address of the Google DNS servers?" } ], "stream": true, "max_tokens": 20, "logprobs": true }' \
    -H 'Content-Type: application/json'
```

^ supports `stream: true` and `stream: false` requests
2024-04-22 11:51:40 +03:00
OlivierDehaene
af63e3273f fix: follow base model for tokenizer in router (#1424)
Close #1422
2024-04-22 09:30:13 +03:00
OlivierDehaene
62646c2a54 v1.3.4 2024-04-22 09:08:34 +03:00
OlivierDehaene
3600fc9dbe v1.3.3 2024-04-19 14:18:39 +03:00
OlivierDehaene
05f8c85a8b v1.3.2 2024-04-18 16:33:05 +03:00
OlivierDehaene
09c556dbd7 v1.3.1 2024-04-18 16:32:07 +03:00
OlivierDehaene
db5053fc86 v1.3.0 2024-04-18 16:31:53 +03:00
Nicolas Patry
a7f52f3812 Speculative (#1308) 2024-04-18 12:39:39 +00:00
Karol Damaszke
e210e15e27
Update Cargo.lock file (#118)
Co-authored-by: Karol Damaszke <kdamaszke@habana.ai>
2024-04-03 17:55:54 +02:00
OlivierDehaene
ccd5725a0c v1.2.0 2023-11-30 15:18:15 +01:00
OlivierDehaene
f9910d13e2
feat: remove flume (#1184) 2023-10-23 15:51:12 +02:00
Nicolas Patry
95a4bb696a
Support eetq weight only quantization (#1068)
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---------

Co-authored-by: zhaosida <zhaosida@corp.netease.com>
2023-09-27 11:42:57 +02:00
Nicolas Patry
a049864270
Preping 1.1.0 (#1066)
# What does this PR do?

Upgrade all relevant versions and dependencies.

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2023-09-27 10:40:18 +02:00
Nicolas Patry
05dd14fdb9
Fix tokenizers==0.13.4 . (#838)
# What does this PR do?

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2023-08-14 19:26:19 +02:00
Nicolas Patry
09eca64227
Version 1.0.1 (#836)
# What does this PR do?

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## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Did you read the [contributor
guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
      Pull Request section?
- [ ] Was this discussed/approved via a Github issue or the
[forum](https://discuss.huggingface.co/)? Please add a link
      to it if that's the case.
- [ ] Did you make sure to update the documentation with your changes?
Here are the
[documentation
guidelines](https://github.com/huggingface/transformers/tree/main/docs),
and
[here are tips on formatting
docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
- [ ] Did you write any new necessary tests?


## Who can review?

Anyone in the community is free to review the PR once the tests have
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2023-08-14 11:23:11 +02:00
OlivierDehaene
3ef5ffbc64
v1.0.0 (#727) 2023-07-28 17:43:46 +02:00
OlivierDehaene
9f18f4c006
v0.9.4 (#713) 2023-07-27 19:25:15 +02:00
OlivierDehaene
cf83f9b66f
v0.9.3 (#634) 2023-07-18 18:11:20 +02:00
OlivierDehaene
c58a0c185b
v0.9.2 (#616) 2023-07-14 16:31:48 +02:00
OlivierDehaene
b7327205a6
feat(launcher): add arg validation and drop subprocess (#595) 2023-07-13 14:22:37 +02:00
OlivierDehaene
31b36cca21
v0.9.1 (#558) 2023-07-06 16:05:42 +02:00
OlivierDehaene
e28a809004
v0.9.0 (#525) 2023-07-01 19:25:41 +02:00
OlivierDehaene
f59fb8b630
feat(router): add ngrok integration (#453) 2023-06-16 16:25:11 +02:00
OlivierDehaene
e7248fe90e v0.8.2 2023-06-01 19:49:13 +02:00